About the RoleAt Together AI, you'll own the systems and tooling that let our engineers ship quickly and reliably: CI/CD pipelines, release infrastructure, local dev environments, and the testing systems the whole engineering team depends on.
This is a high-leverage, build-heavy role. You'll take on big projects and drive them end to end: building a full-stack release service with deployment orchestration, rebuilding the front-end build pipeline, standing up testing infrastructure that kills flaky builds. The goal is straightforward: engineers should spend their time building products, not fighting their tooling.
This is an engineering role focused on building systems, not a QA or manual testing role. You build the infrastructure that makes manual effort unnecessary.
Responsibilities- Build and own the production systems engineers rely on: release services with deployment orchestration (canary, blue/green), reusable CI/CD pipelines, and self-service tooling.
- Build testing infrastructure: the frameworks and harnesses that make tests fast and reliable, and track down flaky tests and slow builds at the systems level.
- Build and maintain local dev environments and containerized workflows so engineers can spin up and iterate fast.
- Create starter templates and shared tooling (CLIs, codegen, IDE integrations) so teams can stand up new services in minutes.
- Be the go-to engineer for GitHub Actions and GitOps: defining problems, untangling pipeline issues, and improving how the org works with them.
- Improve front-end build tooling and developer workflows alongside product engineers.
- Work across the org to find the biggest sources of friction and fix them at the root. Document what you build so others can use it.
Requirements- 5+ years building software in production, with a strong track record of owning systems or services end to end, from design through operation.
- Strong software engineering fundamentals. You write production-quality code and have built and operated real services, not just scripts or test automation.
- Proficiency in Python, Go, and JavaScript/TypeScript for tooling, automation, and enablement.
- Deep experience with CI/CD systems (GitHub Actions, ArgoCD, GitOps) and building scalable, reusable pipelines.
- Experience with containerized development workflows and local dev tooling (e.g., Skaffold).
- Experience building starter templates and scaffolding, with engineering teams, to accelerate new service creation.
- Hands-on experience with AI coding tools (e.g., Claude Code, Cursor, Copilot) and a habit of using them to move faster and ship more.
- A builder's mindset and strong ownership. You like creating the tools and systems other people depend on.
- Rigor in diagnosing systemic issues: flaky tests, build latency, deployment failures.
Nice to have- Kubernetes expertise (EKS, K3s) and experience optimizing containerized builds.
- Infrastructure as Code (Terraform, Ansible, Pulumi).
- Front-end tooling familiarity (React, Next.js, Jest) to optimize front-end dev workflows.
- Monitoring and observability (Prometheus, Grafana, Honeycomb) to debug bottlenecks.
CompensationWe offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $180,000 - $250,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
